Research On Robot Wheelchair Interactive Method Based On Hybrid Interface Of EEG And Head Posture

With the aging of the society and the increasing number of elderly and disabled people from various accidents,how to solve the travel problems of the above-mentioned groups has become a hot spot in recent years.In addition to the functions of ordinary electric wheelchairs,robot wheelchairs have also received widespread attention because of their mobile robot-related characteristics.Humancomputer interaction interface,as one of the key technologies of robot wheelchairs,has a crucial impact on the harmonious operation between users and wheelchairs.Head posture interaction can help disabled to control the robot wheelchair without barriers,but long-term use of head posture control can easily cause neck muscle fatigue.As a new interactive method,the brain-computer interface has been gradually integrated into the interactive control of intelligent assistive devices in recent years.Based on this,this paper studies a robot wheelchair interactive control method based on a mixed interface of head posture and EEG.The specific research contents are as follows:Firstly,for the problems in the interactive control of robot wheelchairs,the feasibility of this research is determined by analyzing the characteristics of head posture and EEG signals and the needs of wheelchair control,combining the advantages of the two types of signals.Secondly,data collection experiments were carried out,combined with EEG and head posture related recognition algorithms,to achieve preprocessing of EEG signals,feature extraction and classification,and real-time estimation of head posture,and analyze the recognition effect of the two types of signals.Thirdly,the robot wheelchair is used as the application platform to analyze the wheelchair control requirements,and the design of the hybrid interface and interactive control system for the EEG and head posture for robot wheelchair control is completed,the mixed control of two types of signals is realized,and control the robot wheelchair to complete the corresponding motion task.Finally,based on the hybrid interface of EEG and head posture,the robot wheelchair interactive control experiment was carried out online;the control effects of the simple head posture control method and the EEG and head posture mixed control methods are analyzed and compared,and the superiority of the hybrid interface interactive control is verified.